Misinformation

The OWASP LLM Top 10 has a few surprises for you

The OWASP LLM Top 10 has a few surprises for you

This podcast episode breaks down the 2026 OWASP LLM Top 10, highlighting a significant rise in concern for 'Excessive Agency' over traditional prompt injection. It explores the discrepancies between practitioner fears and incident data, particularly regarding misinformation, and advocates for viewing security frameworks as tools for operationalization and cyber resilience, not just compliance. The discussion also covers CISA's new SBOM guidance, emphasizing the need to operationalize supply chain data for effective risk reduction, and shares Black Hat 2026 insights on AI agents as a new attack surface, introducing the concept of 'intent collusion' and underscoring the critical need for foundational security principles like least privilege.

Multi-Agent Systems for the Misinformation Lifecycle

Multi-Agent Systems for the Misinformation Lifecycle

A detailed overview of a modular, five-agent system designed to combat the entire lifecycle of digital misinformation. Based on an ICWSM research paper, this practitioner's guide details the roles of the Classifier, Indexer, Extractor, Corrector, and Verifier agents. The system emphasizes scalability, explainability, and high precision, moving beyond the limitations of single-LLM solutions. The talk covers the complete blueprint, from agent coordination and MLOps to holistic evaluation and optimization strategies for production environments.